Author: Jay Don | August 28, 2013
A temporal database has time verifying data. Time is an aspect of world phenomena. Some events occur at specific points in time and are linked to other objects. A data management system (DBMS) is used to manipulate databases about time. The purpose was use DBMS systems to use temporal query languages. The hypothesis was that a temporal data model should capture the semantics and model it. It should also be easy to implement the data models. The procedure was that in 5 years there was a lot of research conducted. The results were that during the 20 years of temporal database research there has been a lot of accomplishments. One accomplishment was that a lot temporal query languages have been made. Another accomplishment was handful of temporal DBMS prototype implements have been made. The conclusion is that there are some things to fix but that DBMS systems work fine.
1. How many query languages are there?
2. Why do they use query languages?
3. How long did it take them to find out about temporal databases?
Citations
Snodgrass, R. (1998). Temporal databases. Retrieved from https://www.cs.arizona.edu/~rts/publications.html
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